Senior Software Engineer – AI Platforms and Automation

🕒 Julho 15

🌽 Illinois, Texas – Remoto

🌽 Illinois – Remote 🤠 Texas – Remote

💵 $140.000 - $200.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Intelligent Medical Objects (IMO)

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1993

🏥 Saúde

💼 Consultoria

📦 Logística

💰 Venture Round em 2017-02

Healthcare • Consulting • Logistics

Intelligent Medical Objects (IMO) é líder na transformação de dados de saúde ao empregar IA e uma rica terminologia médica. Com mais de 30 anos no mercado, a IMO é especializada em terminologia clínica, codificação e mapeamento. Eles atendem prestadores de serviços de saúde, ciências da vida, saúde pública e trocas de informações de saúde, entre outros. Suas soluções aprimoram a gestão da qualidade dos dados, padronizam procedimentos e desbloqueiam insights a partir de dados clínicos por meio de IA. Confiados por 98% dos centros médicos acadêmicos, os produtos da IMO são fundamentais para melhorar o atendimento ao paciente, o agendamento cirúrgico, a eficiência da sala de cirurgia e a gestão precisa de dados.

Descrição

• Own and enhance internal platforms • Maintain and enhance internally developed applications and tooling that supports terminology management, content creation, mapping, workflow automation, and content delivery. • Build and maintain integrations across internal applications, APIs, knowledge bases, databases, and AI services. • Contribute to the design and implementation of new automation and AI-enabled capabilities as business needs evolve. • Own operational support for AI-enabled applications and workflows in production, including troubleshooting, incident response, release coordination, and ongoing maintenance. • Manage application deployments, infrastructure configuration, monitoring, alerting, and operational support for AWS-hosted applications and services. • Investigate production issues, perform root-cause analysis, and implement durable solutions that improve reliability. • Support AI agents and workflow automation capabilities as they mature from pilot initiatives into scalable production solutions. • Develop and troubleshoot cloud-based workflows using AWS services such as Bedrock, Lambda, Glue, S3, IAM, CloudWatch, and MWAA/Airflow. • Implement testing, monitoring, and operational readiness practices that improve the quality and reliability of AI-enabled workflows. • Partner with clinical, terminology, product, data science, and engineering teams to improve AI-enabled workflows while maintaining appropriate human review and auditability. • Mentor team members and promote software engineering best practices for secure, maintainable, and production-ready systems.

🎯 Requisitos

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical field; equivalent professional experience will also be considered. • 7+ years of professional experience in software engineering, backend engineering, platform engineering, DevOps, MLOps, cloud engineering, or a related discipline, including experience supporting production systems. • Strong proficiency in Python and experience building maintainable services, APIs, internal tools, jobs, or workflow automation in production environments. • Experience designing, deploying, and supporting cloud-based applications in AWS environments, including hands-on experience with services such as Amazon Bedrock, Lambda, S3, IAM, CloudWatch, Glue, MWAA/Airflow, or similar technologies. • Experience with CI/CD pipelines, Git-based development workflows, automated testing, configuration management, and release practices. • Experience with Docker, Kubernetes or other containerized services, Terraform or Infrastructure-as-Code, and production monitoring/alerting tools. • Experience with workflow orchestration, data pipelines, or job scheduling tools such as Airflow/MWAA, Glue, Lambda, cron-based jobs, or equivalent technologies. • Working knowledge of SQL and relational databases such as PostgreSQL; experience with distributed data or search systems is a plus. • Experience building or supporting AI-enabled applications using LLM APIs, retrieval-augmented generation (RAG), knowledge bases, AI agents, or similar technologies. • Strong troubleshooting skills, including production issue triage, root-cause analysis, log analysis, and implementation of durable solutions. • Ability to partner effectively with domain experts and translate workflow needs into practical, maintainable technical solutions. • Strong communication, documentation, and collaboration skills in cross-functional environments.

🏖️ Benefícios

• Comprehensive benefits package • Potential bonuses, equity, or sales incentives